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    New Robotics Study Findings Recently Were Published by a Researcher at Northeast ern University (Modeling and Rotation Control Strategy for Space Planar Flexible Robotic Arm Based on Fuzzy Adjustment and Disturbance Observer)

    97-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on robotics is the subject of a new report. According to news reporting out ofShenyang, People’s Republic of China, by NewsRx editors, research stated, “In precise space operationtasks, the impa ct of disturbing torques on the space flexible robotic arm (SFRA) cannot be igno red.Besides, the slender structure of the SFRA is very likely to generate vibra tion of the robotic arm.”

    Study Findings on Machine Learning Are Outlined in Reports from Wuhan University (Quantifying the Spatiotemporal Evolution of Radiation Belt Electrons Scattered By Lower Band Chorus Waves: an Integrated Model)

    98-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Wave particleinteractions a re very important to understand the intricate evolution of the Earth’s radiation belt electrons.Kinetic simulations, in terms of solving the Fokker-Planck equa tion based on the quasilinear theory, areusually used to simulate the radiation belt electron dynamic evolution.”

    Reports Summarize Machine Learning Findings from DIFFER - Dutch Institute for Fu ndamental Energy Research (Computational and Machine Learning-assisted Discovery and Experimental Validation of Conjugated Sulfonamide Cathodes for Lithium-ion ...)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Eindhoven, Netherlands, by NewsRx editors, research stated, “Conjugated sulfonamides (CSAs)stand out for t heir propitious electroactivity and notable stability in ambient conditions, mak ing themsuitable candidates for high-potential cathode materials in lithium-ion batteries (LIBs). This study employsa combination of machine learning, semi-em pirical quantum mechanics, and density functional theorymethods to evaluate a l arge library of 11 432 CSA molecules, focusing on material properties crucial for application in batteries, such as synthetic complexity, redox potential, gravi metric charge capacity, andenergy density.”

    Findings from Northeast Normal University Provides New Data on Androids (The Pow er of Voice! The Impact of Robot Receptionists’ Voice Pitch and Communication Style On Customer Value Cocreation Intention)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics - Androids h ave been presented. According to newsreporting from Changchun, People’s Republi c of China, by NewsRx journalists, research stated, “Despitegrowing interest in robots’ vocal cues in human-robot interactions, there are few studies on robots ’ voicepitch. Drawing upon cue consistency theory and social exchange theory, w e explore the interaction effectof the voice pitch and communication style of r obot receptionists on customer value cocreation intentionin hospitality context s.”

    Northeastern University Reports Findings in Opioids (Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness- Aware Machine Learning Framework)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Opioids is the subject of a repor t. According to news originating from Boston,Massachusetts, by NewsRx correspon dents, research stated, “Opioid use disorder (OUD) is a critical publichealth c risis in the United States, affecting >5.5 million Ameri cans in 2021. Machine learning has beenused to predict patient risk of incident OUD.”

    Findings on Machine Learning Detailed by Investigators at University of Dayton ( Prediction of Hydrocarbons Ignition Performances Using Machine Learning Modeling )

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Dayton, Ohio, by NewsRx correspondents, research stated, “This study presents a computationalmethodolog y for determining the Derived Cetane Number (DCN) of practical aviation fuels. T he proposedapproach integrates a novel Quantitative Structure-Property Relation ship (QSPR) model designedto predict DCN for hydrocarbon species and mixtures w ith fuel composition analysis obtained throughTwo-Dimensional Gas Chromatograph y (GCxGC).”

    Blackett Laboratory Reports Findings in Machine Learning (Generalization of Quan tum Machine Learning Models Using Quantum Fisher Information Metric)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from London, United Kingdom , by NewsRx correspondents, research stated, “Generalizationis the ability of m achine learning models to make accurate predictions on new data by learning fromtraining data. However, understanding generalization of quantum machine learnin g models has been amajor challenge.”

    New Robotics and Automation Study Findings Have Been Reported by Investigators a t Northwestern Polytechnic University (Leces: a Low-bandwidth and Efficient Coll aborative Exploration System With Distributed Multi-uav)

    104-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Ro botics and Automation have been published.According to news reporting out of Xi ’an, People’s Republic of China, by NewsRx editors, researchstated, “Collaborat ive exploration is a prevailing trend of autonomous exploration by unmanned aeri alvehicles (UAVs). However, most collaborative exploration systems rely on exce ssively high communicationbandwidth for precise map maintenance and efficient t ask allocation.”

    Alexandria University Reports Findings in Artificial Intelligence [Clinical audit of an artificial intelligence (AI) empowered smile simulation sys tem: a prospective clinical trial]

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Alexandria, Egy pt, by NewsRx correspondents, research stated, “Smile aesthetics is animportant factor to consider during orthodontic treatment planning. The aim of the presen t study is toassess the predictability of Invisalign SmileView for digital AI s mile simulation in comparison to actualsmile treatment outcomes, using various smile assessment parameters.”

    Reports from Mississippi State University Provide New Insights into Machine Lear ning (Assessment and Prediction of Meteorological Drought Using Machine Learning Algorithms and Climate Data)

    106-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating fromMississippi State, Mississippi, by NewsR x correspondents, research stated, “Monitoring drought in semiaridregions due to climate change is of paramount importance. This study, conducted in Morocco’sUpper Draa Basin (UDB), analyzed data spanning from 1980 to 2019, focusing on t he calculation ofdrought indices, specifically the Standardized Precipitation I ndex (SPI) and the Standardized PrecipitationEvapotranspiration Index (SPEI) at multiple timescales (1, 3, 9, 12 months).”